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Adaptive Safe Data Driven Control Strategy for Closed Loop System
Published 2025-01-01“…Generally, this new paper extends our previous contributions about data driven control to complete its synthesis research, combining some advanced factors together from both the academic theory and practice, for example, adaptation, safety, optimization theory and algorithm, switching logic together.…”
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22
The Weibull Generalized Exponential Distribution with Censored Sample: Estimation and Application on Real Data
Published 2021-01-01“…This paper is concerned with the estimation of the Weibull generalized exponential distribution (WGED) parameters based on the adaptive Type-II progressive (ATIIP) censored sample. …”
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General design of self-governing openness of data and the exploring of the new mode of governance
Published 2018-03-01Get full text
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Fuzzy x- and s Control Charts: A Data-Adaptability and Human-Acceptance Approach
Published 2017-01-01“…Therefore, for well accommodating this fuzzy-data domain, this paper integrates fuzzy set theories to establish the fuzzy charts under a general variable-sample-size condition. …”
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25
Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data
Published 2004-10-01“…Recent experimentalwork has indicated that neural interactions in the primary motorcortex of the monkey brain tend to change their preferreddirections during adaptation to an external force field. Toquantify such changes, it is necessary to develop computationalmethodology for data analysis. …”
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26
Data mining methods application in reflexive adaptation realization in e-learning systems
Published 2017-09-01“…Achieving this effect is important for e-learning systems, since they are quite expensive.The main results of the work include: the proposed classification of software adaptation mechanisms, taking into account the latest trends in the IT field in general and in the field of e-learning in particular; Formulation and formalization of the principle of reflexive adaptation in software systems applicable to a wide class of applied programs; The development of a universal architectural template of the software system, oriented to restructuring in the process of operation; Algorithm for self-optimization of the user interface of the software system based on methods of data mining.The development of the theoretical basis for the automatic reorganization of e-learning software will increase the flexibility of the virtual educational environment and increase the period of its exploitation. …”
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27
Block-Wise Domain Adaptation for Workload Prediction from fNIRS Data
Published 2025-06-01“…However, most existing works assume that training and testing data come from the same subjects and/or cannot generalize well across never-before-seen subjects. …”
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28
Adaptive machine learning framework: Predicting UHPC performance from data to modelling
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29
General Approach for Forest Woody Debris Detection in Multi-Platform LiDAR Data
Published 2025-02-01“…This research proposes a general and adaptive morphological WD detection strategy that requires only a few intuitive thresholds, making it suitable for multi-platform LiDAR datasets in both plantation and natural forests. …”
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A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm
Published 2024-01-01“…It uses adjustment parameters to control the generalized Gaussian window function. The parameters are automatically adjusted by a bat algorithm adaptive optimization to find the best time-frequency characterization. …”
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31
Adaptation of the Academic Disciplines “General Psychology” and “Psychology Workshop” for Students with Disabilities: A Case Study of the “Ukraine” University
Published 2025-07-01“…This article is dedicated to the study of the problems and strategies for adapting the academic disciplines “General Psychology” and “Psychology Workshop” for students with disabilities, using the example of “Ukraine” University, a leading institution in the field of inclusive education. …”
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Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction
Published 2025-02-01“…However, changes in MRI technologies and acquisition protocols often yield limited data, leading to potential overfitting. This study explores Transfer Learning (TL) approaches to enhance AD diagnosis using a Baseline model consisting of a 3D-Convolutional Neural Network trained on 80 3T MRI scans.Two scenarios are explored: (A) utilizing historical data to address changes in MRI acquisitions (from 1.5T to 3T MRI), and (B) adapting 2D models pre-trained on ImageNet (ResNet18, ResNet50, ResNet101) for 3D image processing when historical data is unavailable. …”
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34
An Adaptive Data-Driven Approach to Solve Real-World Vehicle Routing Problems in Logistics
Published 2020-01-01“…This work presents an adaptive data-driven innovative modular approach for solving the real-world vehicle routing problems (VRPs) in the field of logistics. …”
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35
Adaptive Learning Approach for Human Activity Recognition Using Data from Smartphone Sensors
Published 2025-07-01“…In this case, a recognition algorithm must be re-trained with training data of a specific size. Thus, an adaptive (also known as, online or incremental) learning algorithm would be useful in this situation. …”
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36
General Data Protection Law (LGPD) no. 13,709/2018: perception of accounting service providers
Published 2025-01-01“…Contributions of the Study: The research contributes in a practical way by presenting how accounting firms are adapting to the General Data Protection Law, identifying the implementations and procedures necessary to comply with the law. …”
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Meta-Learning Task Relations for Ensemble-Based Temporal Domain Generalization in Sensor Data Forecasting
Published 2025-07-01“…Temporal domain generalization is crucial for the temporal forecasting of sensor data due to the non-stationary and evolving nature of most sensor-generated time series. …”
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38
Utility of Domain Adaptation for Biomass Yield Forecasting
Published 2025-07-01“…Previous work used machine learning (ML) to estimate past and current alfalfa yields and showed that domain adaptation (DA) with data synthesis shows promise in classifying yields as high, medium, or low. …”
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An Adaptive Methodology for Constructing Domain-Specific Sentiment Lexicons Based on Chinese Social Media Data
Published 2025-01-01“…To address these challenges, we propose an adaptive framework for constructing domain-specific sentiment lexicons using Chinese social media data and apply it to develop a sentiment lexicon for public opinion during public health emergencies (PHEPO-SentiLex). …”
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